227 citations · 239 across the 4 of their papers we have counts for
4 papers
Multivariable Mendelian randomization with weak instruments: a comparison of Bayesian and frequentist methods
Andrew J. Grant, Ashish Patel, Stephen Burgess
Weak instruments are a well known limitation for valid causal inference in Mendelian randomization studies. In the single exposure setting, weak instrument bias can be mitigated by…
Bias in multivariable Mendelian randomization studies due to measurement error on exposures
Jiazheng Zhu, Stephen Burgess, Andrew J. Grant
Multivariable Mendelian randomization estimates the causal effect of multiple exposures on an outcome, typically using summary statistics of genetic variant associations. However,…
Pleiotropy robust methods for multivariable Mendelian randomization
Andrew J. Grant, Stephen Burgess
Mendelian randomization is a powerful tool for inferring the presence, or otherwise, of causal effects from observational data. However, the nature of genetic variants is such that…
An efficient and robust approach to Mendelian randomization with measured pleiotropic effects in a high-dimensional setting
Andrew J. Grant, Stephen Burgess
Valid estimation of a causal effect using instrumental variables requires that all of the instruments are independent of the outcome conditional on the risk factor of interest and…